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Digital Image Watermarking Using Sine Transform Technique Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Robust Method for Image Copy-Move Passive Forgery Detection with Enhanced Speed

Authors : Asif Hassan, V. K. Sharma

Published in: Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Publisher: Springer International Publishing

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Abstract

Forgery detection of images is presently one of the fascinated research fields. Copy-move forgery is the most commonly used methods for image forgery. A novel method is proposed in this paper, which is an effective and advanced method for detecting copy-move forgery. The proposed method is a block matching technique with reduced computational speed and less computational complexities. The efficiency of outcome is also improved. The image is segmented into fixed dimensions of overlying blocks and then discrete cosine transform (DCT) is applied to each block to extract its features. Then, the mean of each block is obtained. The mean of each block is compared with other blocks to find the similarity between the blocks. The computational outcomes are shown that indicates the proposed method is robust to detect copy-move forgery efficiently with enhanced speed.

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Metadata
Title
A Robust Method for Image Copy-Move Passive Forgery Detection with Enhanced Speed
Authors
Asif Hassan
V. K. Sharma
Copyright Year
2019
Book
Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)

Print ISBN: 978-3-030-00664-8

Electronic ISBN: 978-3-030-00665-5

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-00665-5_136